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Cesàro summable difference sequence space

An Erratum to this article was published on 09 January 2014

Abstract

The difference sequence spaces c 0 (Δ), c(Δ) and (Δ) were introduced by Kizmaz (Can. Math. Bull. 24:169-176, 1981). In this paper, we introduce the Cesáro summable difference sequence space C 1 (Δ) which strictly includes the spaces c 0 (Δ) and c(Δ) but overlaps with (Δ). It is shown that the newly introduced space C 1 (Δ) turns out to be an inseparable BK space which does not possess any of the following: AK property, monotonicity, normality and perfectness. The Köthe-Toeplitz duals of C 1 (Δ) are computed and as an application, the matrix classes ( C 1 (Δ), ), ( C 1 (Δ),c;P) and ( C 1 (Δ), c 0 ) are also characterized.

MSC:40C05, 40A05, 46A45.

1 Notations and definitions

By s we shall denote the linear space of all complex sequences over (the field of complex numbers). , c and c 0 denote the spaces of all bounded, convergent and null sequences x=( x k ) with complex terms, respectively, normed by x = sup k | x k |.

Throughout this paper, unless otherwise specified, we write k for k = 1 and lim n for lim n .

The definitions given below may be conveniently found in [13].

A complete metric linear space is called a Frèchet space. Let X be a linear subspace of s such that X is a Frèchet space with continuous coordinate projections. Then we say that X is an FK space. If the metric of an FK space is given by a complete norm, then we say that X is a BK space.

We say that an FK space X has AK, or has the AK property, if ( e k ), the sequence of unit vectors, is a Schauder basis for X.

A sequence space X is called

  1. (i)

    normal (or solid) if y=( y k )X whenever | y k || x k |, k1, for some x=( x k )X,

  2. (ii)

    monotone if it contains the canonical preimages of all its stepspaces,

  3. (iii)

    sequence algebra if xy=( x k y k )X whenever x=( x k ),y=( y k )X,

  4. (iv)

    convergence free when, if x=( x k ) is in X and if y k =0 whenever x k =0, then y=( y k ) is in X.

The idea of dual sequence spaces was introduced by Köthe and Toeplitz [4] whose main results concerned α-duals; the α-dual of Xs being defined as

X α = { a = ( a k ) s : k | a k x k | <  for all  x = ( x k ) X } .

In the same paper [4], they also introduced another kind of dual, namely, the β-dual (see [5] also, where it is called the g-dual by Chillingworth) defined as

X β = { a = ( a k ) s : k a k x k  converges for all  x = ( x k ) X } .

Obviously, ϕ X α X β , where ϕ is the well-known sequence space of finitely non-zero scalar sequences. Also, if XY, then Y η X η for η=α,β. For any sequence space X, we denote ( X δ ) η by X δ η , where δ,η=α or β. It is clear that X X η η , where η=α or β.

For a sequence space X, if X= X α α then X is called a Köthe space or a perfect sequence space.

A sequence space x=( x k ) of complex numbers is said to be (C,1) summable (or Cesàro summable of order 1) to C if lim k σ k =, where σ k = 1 k i = 1 k x i . By C 1 we shall denote the linear space of all (C,1) summable sequences of complex numbers over , i.e.,

C 1 = { x = ( x k ) s : ( 1 k i = 1 k x i ) c } .

It is easy to see that C 1 is a BK space normed by

x= sup k 1 k | i = 1 k x i | ,x=( x k ) C 1 .

The notion of difference sequence space was introduced by Kizmaz [6] in 1981 as follows:

X(Δ)= { x = ( x k ) s : ( Δ x k ) X }

for X= ,c, c 0 ; where Δ x k = x k x k + 1 for all kN (the set of natural numbers). For a detailed account of difference sequence spaces, one may refer to [718] where many more references can be found.

2 Motivation and introduction

During the last 32 years, a large amount of work has been carried out by many mathematicians regarding various generalizations of difference sequence spaces of Kizmaz. Keeping aside some exceptions (see, for instance, [7, 8]), in most of these works, the underlying spaces have remained the same, i.e., , c and c 0 . In the present work, we take the opportunity to introduce a difference sequence space with underlying space as C 1 .

We observe that

  1. (i)

    C 1 c(Δ) as ( ( 1 ) k ) C 1 but ( ( 1 ) k )c(Δ),

  2. (ii)

    c(Δ) C 1 as (k)c(Δ) but (k) C 1 , and

  3. (iii)

    cc(Δ) C 1 .

Thus the sequence spaces C 1 and c(Δ) overlap but do not contain each other. Similarly, C 1 and also overlap without containing each other as is clear from the fact that C 1 , C 1 and c C 1 . Note that the sequence ( ( 1 ) k 1 k ) is (C,1) summable but not bounded, whereas the sequence x=( x k ) given by x 1 =1, x 2 =0 and

x k ={ 1 , if  2 i 1 < k 3 ( 2 i 2 ) ( i = 2 , 3 , ) ; 0 , otherwise

is bounded but not (C,1) summable. This has motivated the authors to look for a new sequence space which properly includes the spaces C 1 , c(Δ) and .

We now introduce a sequence space C 1 (Δ), Cesàro summable difference sequence space, as follows:

C 1 (Δ)= { x = ( x k ) s : ( Δ x k ) C 1 } .

The overall picture regarding inclusions among the already existing spaces , c, c 0 , C 1 , (Δ), c(Δ), c 0 (Δ) and the newly introduced space C 1 (Δ) is as shown below:

C 1 C 1 ( Δ ) c 0 c c 0 ( Δ ) c ( Δ ) ( Δ ) C 1 ( Δ )

In this paper we show that C 1 (Δ) strictly includes the spaces c 0 (Δ) and c(Δ) but overlaps with (Δ). It is shown that the newly introduced space C 1 (Δ) is an inseparable BK space which does not possess any of the following: AK property, monotonicity, normality and perfectness. The Köthe-Toeplitz duals of C 1 (Δ) are computed, and as an application, the matrix classes ( C 1 (Δ), ), ( C 1 (Δ),c;P) and ( C 1 (Δ), c 0 ) are also characterized.

3 Inclusion theorems and topological properties of C 1 (Δ)

We begin with elementary inclusion theorems justifying that C 1 (Δ) is much wider than , C 1 and c(Δ).

Theorem 3.1 C 1 (Δ), the inclusion being strict.

Proof Let x=( x k ) . Then there exists M>0 such that | x 1 x k + 1 |M for all k1, and so 1 k i = 1 k Δ x i 0 as k. For strict inclusion, observe that (k) C 1 (Δ) but (k) . □

Theorem 3.2 C 1 C 1 (Δ), the inclusion being strict.

Proof For x=( x k ) C 1 , we have lim k 1 k x k =0, and so 1 k i = 1 k Δ x i 0 as k. Inclusion is strict in view of the example cited in Theorem 3.1. □

Theorem 3.3 c(Δ) C 1 (Δ), the inclusion being strict.

Proof Inclusion is obvious since c C 1 . To see that the inclusion is strict, consider the sequence x=( x k )=(1,2,1,2,1,2,). □

Remark 3.4 Let X and Y be sequence spaces. If XY, then X(Δ)Y(Δ).

Proof Since XY, there is a sequence x=( x k )X such that xY. Consider the sequence y=( y k )=(0, x 1 , x 1 x 2 , x 1 x 2 x 3 ,). Then yX(Δ) but yY(Δ). □

Remark 3.5 We have already observed that C 1 and C 1 , so by Remark 3.4, it follows that neither C 1 (Δ) (Δ) nor (Δ) C 1 (Δ). Also, we have c(Δ) C 1 (Δ) (Δ). In view of this and Theorem 3.3, we can say that C 1 (Δ) strictly includes c(Δ) and hence c 0 (Δ) but overlaps with (Δ).

We now study the linear topological structure of C 1 (Δ).

Theorem 3.6 C 1 (Δ) is a BK space normed by

x Δ =| x 1 |+ sup k 1 k | i = 1 k Δ x i | ,x=( x k ) C 1 (Δ).

The proof is a routine verification by using ‘standard’ techniques and hence is omitted.

Theorem 3.7 C 1 (Δ) is not separable.

Proof Let A be the set of all sequences x a , x b , , where

x a = ( k + a ) k =(1+a,2+a,), x b = ( k + b ) k =(1+b,2+b,),

with |ab|> 1 2 ; a,bR. Clearly, A C 1 (Δ) and A is uncountable. Let D be any dense set in C 1 (Δ).

Define a map f:AD as follows:

Let x a A C 1 (Δ). As D is dense in C 1 (Δ), so there exists some z x a D such that x a z x a Δ < 1 4 .

We set f( x a )= z x a .

For x a , x b A, we have

x a x b Δ = | ( 1 + a ) ( 1 + b ) | + sup k 1 k | i = 1 k Δ ( x a x b ) i | | a b | > 1 2 .

Now

z x a x b Δ x a x b Δ x a z x a Δ > 1 2 1 4 = 1 4

and already we have x b z x b Δ < 1 4 , therefore z x a z x b . Hence f is one-to-one. As f(A)D so D is uncountable. Thus, C 1 (Δ) has no countable dense set. □

Corollary 3.8 C 1 (Δ) does not have a Schauder basis.

The result follows from the fact that if a normed space has a Schauder basis, then it is separable.

Corollary 3.9 C 1 (Δ) does not have the AK property.

Theorem 3.10 C 1 (Δ) is not normal (solid) and hence neither perfect nor convergence free.

Proof Taking x=( x k )=(k1) and y=( y k )=( ( 1 ) k (k1)), we see that x C 1 (Δ) but y C 1 (Δ) although | y k || x k |, k1 and so C 1 (Δ) is not normal. It is well known [1] that every perfect space, and also every convergence free space, is normal and consequently C 1 (Δ) is neither perfect nor convergence free. □

Theorem 3.11 C 1 (Δ) is neither monotone nor a sequence algebra.

Proof Take x=( x k )=(k) C 1 (Δ). Consider y=( y k ) where

y k ={ x k , if  k  is odd ; 0 , if  k  is even

i.e., y=(1,0,3,0,5,). Then (Δ y k )=(1,3,3,5,5,) and so (Δ y k ) C 1 , i.e., ( y k ) C 1 (Δ) and hence C 1 (Δ) is not monotone. To see that C 1 (Δ) is not a sequence algebra, take x=y=(k) and observe that x,y C 1 (Δ) but xy=( k 2 ) C 1 (Δ). □

4 Köthe-Toeplitz duals of C 1 (Δ)

In this section we compute the Köthe-Toeplitz duals of C 1 (Δ) and show that C 1 (Δ) is not perfect.

Theorem 4.1

[ C 1 ( Δ ) ] α = { a = ( a k ) : k k | a k | < } = D 1 .

Proof Let a=( a k ) D 1 . For any x=( x k ) C 1 (Δ), we have ( 1 k i = 1 k Δ x i )c, i.e., ( 1 k ( x 1 x k + 1 ))c and so there exists some M>0 such that | x k |M(k1)+ x 1 for k1 and hence sup k k 1 | x k |<, which implies that

k | a k x k |= k ( k | a k | ) ( k 1 | x k | ) <.

Thus, a=( a k ) [ C 1 ( Δ ) ] α .

Conversely, let a=( a k ) [ C 1 ( Δ ) ] α . Then k | a k x k |< for all x=( x k ) C 1 (Δ). Taking x k =k for all k1, we have x=( x k ) C 1 (Δ) whence k k| a k |<. □

Remark 4.2 It is well known [6, 16] that [ c 0 ( Δ ) ] α = [ c ( Δ ) ] α = [ ( Δ ) ] α = D 1 , so we conclude that [ c 0 ( Δ ) ] α = [ c ( Δ ) ] α = [ ( Δ ) ] α = [ C 1 ( Δ ) ] α , i.e., the α-duals of c 0 (Δ), c(Δ), (Δ) and C 1 (Δ) coincide.

Theorem 4.3

[ C 1 ( Δ ) ] α α = { a = ( a k ) : sup k k 1 | a k | < } = D 2 .

Proof Taking m=1 and X=c in [[12], Theorem 2.13], we have [ c ( Δ ) ] α α ={a=( a k ): sup k k 1 | a k |<} and the result follows in view of Remark 4.2. □

Corollary 4.4 C 1 (Δ) is not perfect.

The proof follows at once when we observe that the sequence ( ( 1 ) k (k1)) [ C 1 ( Δ ) ] α α but does not belong to C 1 (Δ).

Theorem 4.5

[ C 1 ( Δ ) ] β = { a = ( a k ) : k k | a k | < } = D 3 .

Proof Let a=( a k ) D 3 and x=( x k ) C 1 (Δ). Then ( 1 k i = 1 k Δ x i )c. For nN, we have

k = 1 n a k x k = k = 2 n (k1) a k ( 1 k 1 i = 1 k 1 Δ x i ) + x 1 k = 1 n a k .

Obviously, ( a k ) and ((k1) a k ) 1 . We define y=( y k ) by y 1 =0 and y k = 1 k 1 i = 1 k 1 Δ x i for all k2. Then yc and since c α = 1 , the series k = 2 (k1) a k ( 1 k 1 i = 1 k 1 Δ x i ) converges absolutely.

Conversely, if a=( a k ) [ C 1 ( Δ ) ] β , then k a k x k converges for all x=( x k ) C 1 (Δ). In particular, taking x k =1 for all k, we have k a k converges and so k = 2 (k1) a k ( 1 k 1 i = 1 k 1 Δ x i ) converges for all x=( x k ) C 1 (Δ). Since x=( x k ) C 1 (Δ) if and only if y=( 1 k i = 1 k Δ x i )c, we have ((k1) a k ) c α . □

Corollary 4.6 [ c 0 ( Δ ) ] α = [ c ( Δ ) ] α = [ ( Δ ) ] α = [ C 1 ( Δ ) ] α = [ C 1 ( Δ ) ] β .

5 Matrix maps

Finally, we characterize certain matrix classes. For any complex infinite matrix A=( a n k ), we shall write A n = ( a n k ) k N for the sequence in the n th row of A. If X, Y are any two sets of sequences, we denote by (X,Y) the class of all those infinite matrices A=( a n k ) such that the series A n (x)= k a n k x k converges for all x=( x k )X (n=1,2,) and the sequence Ax= ( A n x ) n N is in Y for all xX.

The following theorem is well known.

Theorem 5.1 [[3], p.219] Let X and Y be BK spaces and suppose that A=( a n k ) is an infinite matrix such that ( k a n k x k ) n N Y for each xX, i.e., A(X,Y), then A:XY is a bounded linear operator.

Theorem 5.2 A( C 1 (Δ), ) if and only if sup n k = 2 (k1)| a n k |<.

Proof Suppose that sup n k = 2 (k1)| a n k |< and x=( x k ) C 1 (Δ). Proceeding as in Theorem 4.5, we have k = 2 | a n k i = 1 k 1 Δ x i |<.

For mN,

k = 1 m a n k x k = k = 1 m a n k ( i = 1 k 1 Δ x i ) + x 1 k = 1 m a n k ,

which yields the absolute convergence of k a n k x k for each nN, and finally we have

| k a n k x k | ( sup k 2 | 1 k 1 i = 1 k 1 Δ x i | ) ( sup n k = 2 ( k 1 ) | a n k | ) + x 1 sup n k (k1)| a n k |

for all nN.

Conversely, by Theorem 5.1, we have

| k a n k x k | = | A n ( x ) | sup n | A n ( x ) | = A x A x Δ
(5.1)

for each nN and x=( x k ) C 1 (Δ).

Choose any nN and any rN and define

x k ={ ( k 1 ) sgn a n k , if  1 < k r ; 0 , otherwise .

Then x=( x k )c C 1 (Δ) with x Δ =1. Inserting this value of x=( x k ) in (5.1) , we have

k = 2 r (k1)| a n k |A.
(5.2)

Letting r and noting that (5.2) holds for every nN, we are through. □

Remark 5.3 If x=( x k ) C 1 (Δ), then there exists some C such that lim k 1 k i = 1 k Δ x i =. We shall call the C 1 (Δ) limit of the sequence ( x k ) and by ( C 1 (Δ),c;P) we shall denote that subset of ( C 1 (Δ),c) for which C 1 (Δ) limits are preserved.

Theorem 5.4 A( C 1 (Δ),c;P) if and only if

  1. (i)

    sup n k = 2 (k1)| a n k |<,

  2. (ii)

    lim n k (k1) a n k =1,

  3. (iii)

    lim n a n k =0 for each k,

  4. (iv)

    lim n k a n k =0.

Proof Let the conditions (i)-(iv) hold and suppose that x=( x k ) C 1 (Δ) with lim k 1 k i = 1 k Δ x i =. It is implicit in (i) that, for each nN, k (k1)| a n k | converges. It follows that k = 2 (k1) a n k ( 1 k 1 i = 1 k 1 Δ x i ) converges, whence

k a n k x k = k = 2 (k1) a n k ( 1 k 1 i = 1 k 1 Δ x i ) k (k1) a n k + x 1 k a n k .
(5.3)

Let ϵ k = 1 k i = 1 k Δ x i , H= sup k | ϵ k | and M= sup n k (k1)| a n k |.

Then, for any pN, we have

| k = 2 ( k 1 ) a n k ( 1 k 1 i = 1 k 1 Δ x i ) | H k = 2 p (k1)| a n k |+M sup k > p | ϵ k 1 |

and hence

lim sup n | k = 2 ( k 1 ) a n k ( 1 k 1 i = 1 k 1 Δ x i ) | M sup k > p | ϵ k 1 |.

Letting p, we have k = 2 (k1) a n k ( 1 k 1 i = 1 k 1 Δ x i )0 as n. Making use of this and also of (ii) and (iv) in (5.3), we get the result.

Conversely, let A( C 1 (Δ),c;P). Then ( k a n k x k ) n N c for all x=( x k ) C 1 (Δ). By the same argument as in Theorem 5.2, we have sup n k = 2 (k1)| a n k |<. Taking x= e k C 1 (Δ), we get ( a n k ) n N c with lim n a n k =0 for each k. Also, for x=(k1), we have ( k ( k 1 ) a n k ) n N c with lim n k (k1) a n k =1, and finally x=(1,1,1,) C 1 (Δ) yields lim n k a n k =0. □

Theorem 5.5 A( C 1 (Δ), c 0 ) if and only if

  1. (i)

    sup n k = 2 (k1)| a n k |<,

  2. (ii)

    lim n k (k1) a n k =0,

  3. (iii)

    lim n a n k =0 for each k,

  4. (iv)

    lim n k a n k =0.

References

  1. Cooke RG: Infinite Matrices and Sequence Spaces. Macmillan & Co., London; 1950.

    MATH  Google Scholar 

  2. Kamthan PK, Gupta M: Sequence Spaces and Series. Dekker, New York; 1981.

    MATH  Google Scholar 

  3. Maddox IJ: Elements of Functional Analysis. 2nd edition. Cambridge University Press, Cambridge; 1988.

    MATH  Google Scholar 

  4. Köthe G, Toeplitz O: Lineare Räume mit unendlich vielen Koordinaten und Ringe unendlicher Matrizen. J. Reine Angew. Math. 1934, 171: 193–226.

    MathSciNet  MATH  Google Scholar 

  5. Chillingworth HR: Generalized ‘dual’ sequence spaces. Ned. Akad. Wet. Indag. Math. 1958, 20: 307–315.

    Article  MathSciNet  MATH  Google Scholar 

  6. Kizmaz H: On certain sequence spaces. Can. Math. Bull. 1981, 24(2):169–176. 10.4153/CMB-1981-027-5

    Article  MathSciNet  MATH  Google Scholar 

  7. Altay B, Başar F:The fine spectrum and the matrix domain of the difference operator Δ on the sequence space p . Commun. Math. Anal. 2007, 2(2):1–11.

    MathSciNet  MATH  Google Scholar 

  8. Başar F, Altay B: On the space of sequences of p -bounded variation and related matrix mappings. Ukr. Math. J. 2003, 55(1):136–147. 10.1023/A:1025080820961

    Article  MathSciNet  MATH  Google Scholar 

  9. Bektaş ÇA, Et M, Çolak R: Generalized difference sequence spaces and their dual spaces. J. Math. Anal. Appl. 2004, 292: 423–432.

    Article  MathSciNet  MATH  Google Scholar 

  10. Bhardwaj VK, Bala I:Generalized difference sequence space defined by | N ¯ , p k | summability and an Orlicz function in seminormed space. Math. Slovaca 2010, 60(2):257–264. 10.2478/s12175-010-0010-1

    Article  MathSciNet  MATH  Google Scholar 

  11. Çolak R: On some generalized sequence spaces. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 1989, 38: 35–46.

    MathSciNet  MATH  Google Scholar 

  12. Et M, Çolak R: On some generalized difference sequence spaces. Soochow J. Math. 1995, 21(4):377–386.

    MathSciNet  MATH  Google Scholar 

  13. Et M: On some generalized Cesàro difference sequence spaces. Istanb. Üniv. Fen Fak. Mat. Derg. 1996/97, 55/56: 221–229.

    MathSciNet  MATH  Google Scholar 

  14. Et M:Spaces of Cesàro difference sequences of order Δ r -defined by a modulus function in a locally convex space. Taiwan. J. Math. 2006, 10(4):865–879.

    MathSciNet  MATH  Google Scholar 

  15. Et M: Generalized Cesàro difference sequence spaces of non-absolute type involving lacunary sequences. Appl. Math. Comput. 2013, 219(17):9372–9376. 10.1016/j.amc.2013.03.039

    Article  MathSciNet  MATH  Google Scholar 

  16. Malkowsky E, Parashar SD: Matrix transformations in spaces of bounded and convergent difference sequences of order m . Analysis 1997, 17(1):87–97.

    Article  MathSciNet  MATH  Google Scholar 

  17. Malkowsky E, Mursaleen M, Suantai S: The dual spaces of sets of difference sequences of order m and matrix transformations. Acta Math. Sin. 2007, 23(3):521–532. 10.1007/s10114-005-0719-x

    Article  MathSciNet  MATH  Google Scholar 

  18. Orhan C: Cesàro difference sequence spaces and related matrix transformations. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 1983, 32(8):55–63.

    MathSciNet  MATH  Google Scholar 

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The authors are grateful to the referee for his/her valuable comments and suggestions, which have improved the presentation of the paper.

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Correspondence to Vinod K Bhardwaj.

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VKB and SG contributed equally. All authors read and approved the final manuscript.

An erratum to this article is available at http://dx.doi.org/10.1186/1029-242X-2014-11.

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Bhardwaj, V.K., Gupta, S. Cesàro summable difference sequence space. J Inequal Appl 2013, 315 (2013). https://doi.org/10.1186/1029-242X-2013-315

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